Showing 1 - 10 of 115
The dynamic properties of micro based stochastic macro models are often analyzed through a linearization around the …. Complementary to this literature we investigate how the linearization affects the stochastic properties of the original model. We …
Persistent link: https://www.econbiz.de/10011255583
The dynamic properties of micro based stochastic macro models are often analyzed through a linearization around the …. Complementary to this literature we investigate how the linearization affects the stochastic properties of the original model. We …
Persistent link: https://www.econbiz.de/10008838589
This discussion paper resulted in a publication in <Stochastic Models</I> (2012). Volume 28(3), pages 478-502.<P> We apply the splitting method to three well-known counting problems, namely 3-SAT, random graphs with prescribed degrees, and binary contingency tables. We present an enhanced version of the splitting method...</p></stochastic>
Persistent link: https://www.econbiz.de/10011255459
We compare three stochastic user equilibrium traffic assignment models multinomial probit, nested logit, and generalized nested logit), using a congestible transport network. We test the models in two situations: one in which they have theoretically equivalent coefficients, and one in which they...
Persistent link: https://www.econbiz.de/10011255611
In this paper we study a challenging call center operation problem. The goal of our analysis is to identify an optimal policy for allocating tasks to agents. As a first step, we discuss promising randomized policies and use stochastic approximation for finding the optimal randomized policy when...
Persistent link: https://www.econbiz.de/10011255616
Kernel ridge regression is gaining popularity as a data-rich nonlinear forecasting tool, which is applicable in many different contexts. This paper investigates the influence of the choice of kernel and the setting of tuning parameters on forecast accuracy. We review several popular kernels,...
Persistent link: https://www.econbiz.de/10011255762
This discussion paper resulted in a publication in 'Quantitative Finance', 2010, 10, 177-194.<P> When using an Euler discretisation to simulate a mean-reverting square root process, one runs into the problem that while the process itself is guaranteed to be nonnegative, the discretisation is not....</p>
Persistent link: https://www.econbiz.de/10011255776
In a Bayesian analysis, different models can be compared on the basis of theexpected or marginal likelihood they attain. Many methods have been devised to compute themarginal likelihood, but simplicity is not the strongest point of most methods. At the sametime, the precision of methods is often...
Persistent link: https://www.econbiz.de/10011255796
A large number of exact inferential procedures in statistics and econometrics involve the sampling distribution of ratios of random variables. If the denominator variable is positive, then tail probabilities of the ratio can be expressed as those of a suitably defined difference of random...
Persistent link: https://www.econbiz.de/10011255898
Countless test statistics can be written as quadratic forms in certain random vectors, or ratios thereof. Consequently, their distribution has received considerable attention in the literature. Except for a few special cases, no closed-form expression for the cdf exists, and one resorts to...
Persistent link: https://www.econbiz.de/10011256002